September 2018
Intermediate to advanced
380 pages
9h 40m
English
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
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Canny edge detection
In the last chapter, we saw various high pass filters, which can be used as edge detectors. In this section, the Canny edge detection algorithm, which combines Gaussian filtering, gradient finding, non-maximum suppression, and hysteresis thresholding, is implemented using OpenCV and CUDA. High pass filters, as explained in the last chapter, are very sensitive to noise. In Canny edge detection, Gaussian smoothing is done before detecting edges, which makes it less sensitive to noises. It also has a non-maximum suppression stage after detecting edges to remove unnecessary edges from the result.
Canny edge detection is a computationally intensive task, which is hard to use in real-time applications. The CUDA version of the ...
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